scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder

scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder

Abstract Background Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering new insights into cellular heterogeneity, developmental processes, and disease mechanisms. As scRNA-seq technology advances, its role in modern biology has become increasingly vital. This study...

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Bibliographic Details
Main Authors: Xiaoxu Cui, Renkai Wu, Yinghao Liu, Peizhan Chen, Qing Chang, Pengchen Liang, Changyu He
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Bioinformatics
Subjects:
ScRNA-seq
Deep clustering
Deep learning
Multi-dilated attention gate
Online Access:https://doi.org/10.1186/s12859-025-06047-x
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